Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add yoanbernabeu/producthunt-skills --skill ph-competitor-analysisgit clone --depth 1 https://github.com/yoanbernabeu/producthunt-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/yoanbernabeu/producthunt-skills/ph-competitor-analysis)<a href="https://agentmods.dev/skills/yoanbernabeu/producthunt-skills/ph-competitor-analysis"><img src="https://agentmods.dev/badge/skills/yoanbernabeu/producthunt-skills/ph-competitor-analysis/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/yoanbernabeu/producthunt-skills/ph-competitor-analysis"><img src="https://agentmods.dev/badge/skills/yoanbernabeu/producthunt-skills/ph-competitor-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00043 | $0.01250 |
| Opus 5.5 | $0.00017 | $0.00500 |
| Sonnet 5.5 | $0.00009 | $0.00250 |
| Haiku 4.5 | $0.00004 | $0.00125 |
Grade A, and why
ph-competitor-analysis scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 184 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Product Hunt Competitor Analysis
This skill helps you analyze the competitive landscape on Product Hunt, learn from successful launches, and position your product for maximum impact.
When to Use This Skill
- Researching similar products that launched on Product Hunt
- Evaluating competition for a specific launch day
- Learning from top performers in your category
- Benchmarking your assets against successful launches
- Understanding what makes products win POTD
Analysis Framework
1. Category Research
Identify products in your space that launched successfully:
Research Sources:
- Product Hunt search by category/topic
- Product Hunt "Topics" pages
- hunted.space for historical data
- ProductFlair for inspiration
Data to Collect:
| Product | Launch Date | Upvotes | Comments | Rank | Tagline |
|---|---|---|---|---|---|
| [Name] | [Date] | [#] | [#] | [#] | [Text] |
2. Launch Day Competition Analysis
For your target launch date, research:
Historical Pattern (Same Day of Week):
- Average upvotes for #1 position
- Typical number of featured products
- Quality level of competitors
Benchmark Thresholds (2024-2025 Data):
| Day | #1 Position | Top 5 | Featured |
|---|---|---|---|
| Monday | 500-700 | 300+ | 150+ |
| Tuesday | 600-900 | 400+ | 200+ |
| Wednesday | 700-1000 | 450+ | 200+ |
| Thursday | 600-900 | 400+ | 200+ |
| Friday | 400-600 | 250+ | 150+ |
| Saturday | 300-500 | 200+ | 100+ |
| Sunday | 300-500 | 200+ | 100+ |
3. Top Performer Deep Dive
For each successful competitor, analyze:
Content Elements:
- Tagline: What makes it compelling?
- Thumbnail: Static or GIF? Style?
- Gallery: How many images? Video included?
- Description: Length, structure, tone
- Maker Comment: Structure, authenticity, CTA
Engagement Patterns:
- First hour upvotes
- Comment velocity
- Maker response rate
- Community discussion quality
Unique Differentiators:
- What made this product stand out?
- Any special offers or promotions?
- Notable endorsements or hunters?
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 184 lines · 43 tokens per session scan A c268d5d93024
ph-competitor-analysis is a skill published in the GitHub repository yoanbernabeu/producthunt-skills (23 stars, last pushed 9mo ago), licensed MIT. It adds 43 tokens to every session and 1,250 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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